Differentially Private Sampling from Distributions - Google Algorithms Seminar

Differentially Private Sampling from Distributions - Google Algorithms Seminar

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Intro

1 of 16

1 of 16

Intro

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Classroom Contents

Differentially Private Sampling from Distributions - Google Algorithms Seminar

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  1. 1 Intro
  2. 2 Private Data Analysis
  3. 3 Properties of Differential Privacy
  4. 4 Private Sampling
  5. 5 Sampling Accuracy
  6. 6 Context
  7. 7 Summary of Contributions
  8. 8 Related Work
  9. 9 Sample Complexity of DP Sampling
  10. 10 Techniques
  11. 11 Simple Example: Bernoulli with Bounded Bias
  12. 12 Frequency-Count-Based Sampler
  13. 13 Overview: k-ary lower bound
  14. 14 Proof of Key Lemma
  15. 15 Putting it all together: k-ary LB
  16. 16 Removing the assumptions

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